Conducting Research in the Social Sciences. Rick Balkin, Ph.D., LPC-S, NCC
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1 Conducting Research in the Social Sciences Rick Balkin, Ph.D., LPC-S, NCC 1
2 Why we do research Improvement Description Explanation Prediction R. S. Balkin,
3 Theory Explanation of an observed phenomena In the social sciences, it is derived from theoretical constructs Constructs are operationally defined R. S. Balkin,
4 Deriving a theory Grounded theory (qualitative) Formulating (quantitative) R. S. Balkin,
5 Limitations to Generalizability/Transfer Bias Phenomenological Inconsistent realities Objective reality vs constructed reality R. S. Balkin,
6 Postmodernism There is no superior form of inquiry There is no universal truth Rather, there is an agreement among many voices R. S. Balkin,
7 Response to postmodernism Scientific researchers have developed concepts and procedures to conduct high quality investigations Findings can be replicated Findings can be refuted Bias and errors can be minimized A good researcher is guided by ethical principles R. S. Balkin,
8 R. S. Balkin,
9 Improvement We wish to know the effectiveness of an intervention R. S. Balkin,
10 Description We wish to know the form, structure, activity, change over time, and/or relationship to other phenomena R. S. Balkin,
11 Explanation We wish to develop a theory behind a specific phenomena R. S. Balkin,
12 Prediction We wish to identify what and when specific events will occur R. S. Balkin,
13 How do we use research to answer questions? Define what we want to measure: Purpose of research Type of Research Variables Develop questions or hypotheses Identify how data will be collected Population Sampling R. S. Balkin,
14 Define what we want to measure: Purpose Fundamental research Deductive method less concerned with application more common in physical sciences The benefits of the research may not be applied immediately R. S. Balkin,
15 Define what we want to measure: Purpose Applied research Purpose is to improve a product or process Describes most social science research Attempts to develop generalizations about a population R. S. Balkin,
16 Define what we want to measure: Purpose Action research The researcher is actively involved in the process Focus is on immediate application, not generalization Purpose is to improve practice Results may not be generalizable because they often do not occur in an experimental setting R. S. Balkin,
17 Define what we want to measure: Purpose Assessment Fact-finding examines what exists No hypothesis testing Not considered research R. S. Balkin,
18 Define what we want to measure: Purpose Evaluation Application of findings Examination of utilization and effectiveness Not considered research May be summative occurs at the conclusion of a specific period (i.e. assigning a grade) May be formative evaluation is ongoing and continuous R. S. Balkin,
19 Define what we want to measure: Two broad areas Qualitative research Inductive Identifies the details of a phenomena Develops theory Quantitative Research Deductive Generalizes to a population Tests theory R. S. Balkin,
20 Define what we want to measure: Type Descriptive research May be quantitative: The gathering and analysis of empirical data in order to accurately describe a population Focus is on descriptive statistics Involves hypothesis testing, analysis, and generalization May be qualitative: Focuses on the nature of a phenomena Develops a theory of a phenomena R. S. Balkin,
21 Define what we want to measure: Type Experimental research Attempts to identify group differences or relationships between or among variables Always involves manipulation of variables and random assignment Quasi-experimental research Combines descriptive and experimental research There is no random assignment Either may be qualitative or quantitative R. S. Balkin,
22 Descriptive vs. Experimental Research Both involve hypothesis testing Both employ random sampling (more on that later) Experimental research uses random assignment (more on that later too) R. S. Balkin,
23 Descriptive vs. Experimental Research Descriptive research does not employ random assignment that is, some phenomena cannot be randomly assign, such as sex. The researcher may be interested in the relationship between two variables that are already present this type of descriptive research is known as a correlational research For example, a researcher wishes to study the relationship between depression and disordered eating. R. S. Balkin,
24 Define what we want to measure: Type Historical research Describes what was by investigating, recording, analyzing, and interpreting events Purpose is to identify previous trends of the past to understand what needs to happen in the present and future May be quantitative or qualitative R. S. Balkin,
25 Define what we want to measure: Variables Variables are defined through observation: i.e. demographic variables (e.g. SES, ethnicity, sex) OR Variables are defined operationally Constructs (i.e. mood, creativity, wellness) Based on theory R. S. Balkin,
26 Develop questions or hypotheses: Questions When developing a research project, it is sometimes helpful to think in terms of what question(s) may be answered through this research. R. S. Balkin,
27 Develop questions or hypotheses: Questions Research questions may be descriptive They describe what is occurring What percent of low achieving students come from single parent families? R. S. Balkin,
28 Develop questions or hypotheses: Questions Research questions may be relational The relationship between two variables is examined What is the relationship between exercise and decreases in depression? R. S. Balkin,
29 Develop questions or hypotheses: Questions Research questions may be causal Is one phenomena caused by another phenomena? Does drinking alcohol cause an individual to escalate in drug use? Causal studies are rarely conducted in social science research because determining causation is very difficult. R. S. Balkin,
30 Develop questions or hypotheses: Questions Conditions for causation: Relationship between the two phenomena Time order the proper sequence of events Influence of confounding variables has been eliminated no other influences can be attributed to the relationship R. S. Balkin,
31 Develop questions or hypotheses: Hypotheses An hypothesis is a specific statement of prediction. There are two types: 1. Scientific Statement about what we think should happen in our study Statement about the variables that deter the study 2. Statistical contains a null and an alternative hypothesis You accept one Lends credibility, provides evidence DOES NOT PROVE R. S. Balkin,
32 Statistical Hypotheses Actually, a statistical hypothesis includes two hypotheses. Let's say that you predict that there will be differences between males and females in a study of emotional maturity in high school students. The way we would formally set up the hypothesis test is to formulate two hypothesis statements: One that describes no differences between the groups One that describes differences between the groups. R. S. Balkin,
33 Statistical Hypotheses Usually, we call the hypothesis that describes no differences as the null hypothesis. We call the hypothesis that you supports differences the alternative hypothesis We use a notation like H1 to represent the alternative hypothesis and H0 to represent the null case. R. S. Balkin,
34 Statistical Hypotheses Null Hypothesis Alternative (research) hypothesis H o : µ 1 = µ 2 H 1 : µ 1 µ 2 OK, I know it's a convoluted, awkward and formalistic way to ask research questions. But it encompasses a long tradition in statistics called the hypothetical-deductive model, and sometimes we just have to do things because they're traditions. And anyway, if all of this hypothesis testing was easy enough so anybody could understand it, how do you think statisticians would stay employed? (Trochim, 2006) R. S. Balkin,
35 Questions or Hypotheses? In the end, you can decide whether you want to identify research questions or research hypotheses in your research project. R. S. Balkin,
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